Full-Time
Software Engineer
Backend
Updated on 5/9/2026
Ema
51-200 employees
Deploys enterprise AI employees for tasks
No salary listed
Bengaluru, Karnataka, India
In Person
 Software Engineering (1) |
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- Bachelor's degree in Computer Science or related field.
- At least 7+ years of relevant work experience.
- Solid background in algorithms, data structures, and object-oriented programming.
- Experience in back-end development using languages like Python and Go.
- Knowledge of database technologies like PostgreSQL, Elastic, Redis.
- Knowledge of designing and building API platforms and integration systems.
- Experience with cloud technologies like Google Cloud Platform.
- Experience with containerization technologies like Docker and Kubernetes.
- Experience with integrating multiple enterprise applications, including frameworks and authentication.
- Understanding of security best practices and protocols for enterprise software applications.
- Experience deploying software in multi-tenant Software as a Service environments.
- Knowledge of front-end technologies such as HTML, CSS, JavaScript, and front-end frameworks like React or Angular.
- Strong problem-solving skills and attention to detail.
- Ability to work independently and as part of a team.
- Experience working with global teams.
- Develop and maintain enterprise software applications, including API, data, application, and service development.
- Write clean, efficient, and maintainable code by employing test-driven development process.
- Build scalable and reliable back-end systems using languages like Go and Python.
- Develop and maintain APIs using REST, gRPC or GraphQL
- Integrate multiple enterprise applications and services using a scalable framework like FastAPI
- Build and maintain data schema using PostgreSQL, NoSQL etc.
- Knowledge of front-end interfaces using HTML, CSS, and JavaScript frameworks such as React or Angular.
- Design data pipelines for ML using DE stack ; event driven technologies like Temporal and Kafka. Work with foundational LLMs across OpenAI. Gemini and Claude.
- Ensure that applications are secure and adhere to industry best practices.
- Able to design and develop enterprise grade features / modules using SOLID principles and best practices around software engineering.
- Develop high availability, low latency enterprise grade software products using Agentic Architecture, LLMs and RAG technology.
- Continuously improve software development processes and practices.
- Experience in Agentic, LLMs and knowledge search is good to have.
Ema builds enterprise AI employees that can chat, learn, and perform tasks across a business, effectively expanding the workforce. Their agents replace many human co-pilots while staying secure and compliant with standards like SOC2, ISO27001, GDPR, HIPAA, and NIST. The core is the EmaFusionTM model, which combines more than 100 large language models to deliver high accuracy at lower cost for enterprise use cases. Customers access these AI employees via subscriptions or licenses, creating long-term partnerships. The company differentiates itself by offering highly auditable, compliant AI workers built for enterprise needs, with strong governance and cost efficiency. The goal is to help enterprises run operations more efficiently and securely by deploying scalable AI staff.
Company Size
51-200
Company Stage
Series A
Total Funding
$75M
Headquarters
Mountain View, California
Founded
2023
Simplify's Take
What believers are saying
- Voice AI employee achieves 85% resolution rate, sub-500ms latency, 4.5/5 satisfaction.
- Hospital for Special Surgery three-year engagement validates healthcare scalability and HIPAA compliance.
- $61M funding with Accel, Section 32 backing enables R&D and enterprise GTM expansion.
What critics are saying
- AI Genesis undercuts SMB market with $75K/year versus Ema's $50K+ minimum entry.
- EmaFusion claims lack independent validation; competitor benchmarks could collapse differentiation.
- Microsoft Pegasus Programme creates dependency; native 365 agents threaten Ema's distribution.
What makes Ema unique
- EmaFusion orchestrates 100+ LLMs for optimal cost-accuracy routing per task.
- 50+ pre-built AI employees deployable immediately across customer support, HR, sales, finance.
- Enterprise-grade security: SOC 2, HIPAA, GDPR, ISO 42001 compliance built-in.
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Benefits
Hybrid Work Options
Company News
How Wipro is transforming HR services for 240,000 global associates with Ema. In the global race to operationalize AI, many organizations find themselves stuck in "pilot purgatory." Wipro's journey is different. By shifting from fragmented, people-dependent support to an agentic AI-led model, Wipro has transformed HR services from a manual service center into a strategic enterprise capability. Partnering with Ema, Wipro successfully deployed a network of AI employees across 65+ countries, moving HR service delivery from days to seconds while achieving unprecedented consistency, accuracy, and associate satisfaction. The challenge: navigating global scale and complexity. At Wipro's scale, HR services function as a sophisticated, interconnected global ecosystem. Supporting 240000+ global associates means navigating a labyrinth of 16,000 policy articles, 4,000 FAQs, and dozens of regional labor laws. Traditional automation i.e. the basic "chatbot" fails at this scale. It provides generic answers but is unable to take action. Wipro recognized that adding more human staff was not a sustainable solution. Their goal wasn't just to "automate queries"; it was to increase operating leverage - ensuring that a single piece of policy knowledge could serve a global workforce instantly and accurately. "At Wipro's scale, efficiency is not just about saving time; it's about unlocking human potential. We chose Ema because they understood that we needed a platform and a partner capable of navigating our global complexity as fluently as our best People practitioners." - Ateet Jayaswal, Chief Culture & Employee Experience Officer, Wipro The strategic shift: redesigning the operating model. Wipro made a deliberate reset to eliminate the fragmentation that plagues global enterprises. Instead of building isolated tools, they redesigned their entire operating model around agentic AI. Crucially, this positioned the AI employee as a single intelligent entry point to HR and service operations, rather than another destination associates had to learn or adopt. From pilots to production. While many firms struggle to move AI past the "experimental" phase, Wipro focused on production-readiness from day one. By using Ema as an intelligent middle layer, Wipro bypassed the need to rip-and-replace core HCM infrastructure. Eliminating fragmentation through intelligent orchestration. Wipro's new model replaces people-dependent, fragmented systems with a unified, on-demand experience. Key differentiators that enabled this at scale include the ability to: * Integrate with multiple knowledge bases to ensure policy coverage across 65+ countries. * Read and reason over structured data to deliver contextual, personalized responses (e.g., specific to an associate's band or geography). * Connect with over 10 internal systems, ranging from SharePoint to regional transport databases, providing a single source of truth. * Enable 60+ complex associate actions through a single conversational interface, including leave management, transport booking, timesheet management, and requests tracking. Speed without risk: clearing 100+ security checks. For Wipro, security had to be foundational. The transition involved replacing an existing solution and expanding coverage globally while simultaneously elevating the associate experience. Validated at Scale. Ema scaled alongside Wipro's internal teams, supporting rigorous user acceptance testing (UAT) involving over 150 testers to ensure accuracy across diverse edge cases. Uncompromising security. Wipro's CIO organization and Ema jointly cleared 100+ security and compliance checks. This partnership ensured enterprise readiness and data sovereignty without compromising deployment speed. By acting as an intelligent middle layer, Ema delivered a fully agentic experience while integrating with traditional systems with minimal disruption to the existing tech stack. Operationalizing impact: delivering services from days to seconds. A critical component of Wipro's success was ensuring a seamless, omnichannel experience. Associates no longer need to navigate multiple disparate applications or leave their primary workspace to complete HR tasks. Meeting associates where they work. By embedding Ema's AI Employees directly into the existing flow of work - including Microsoft Teams and the corporate intranet - Wipro removed the friction of adoption. Whether an associate is collaborating in a chat window or browsing internal resources, the AI Employee is available as a persistent, intelligent companion. Measuring ROI: the value of accuracy and productivity. Wipro measures the success of its AI transformation through two primary lenses: * Accuracy & Consistency: By eliminating regional "policy drift," the AI Employee ensures that every associate receives the same accurate response. This has significantly reduced "ticket bounce-back" and manual escalations. * Productivity Gains at Scale: * Speed of Actions: Tasks that previously required complex navigation can now be completed by associates in a matter of seconds. * L1 Ticket Reduction: Strengthen self-service through personalized, contextual responses - minimizing dependence on L1 agents for query resolution. The blueprint for HR leaders: lessons from the front line. Wipro's vision provides a clear roadmap for operationalizing AI: * Keep associates at the core: Design solutions that deliver a consumer-grade experience and meaningfully simplify their day-to-day work. * Move Beyond the Pilot: AI in People Operations only delivers value when it is an enterprise capability, not a standalone project. Focus on partners that can scale in weeks. * Prioritize Security and Trust: Ensure your AI partner can collaborate deeply with the CIO organization to clear compliance hurdles early. * Measure What Matters: Move beyond "engagement" metrics. Measure ROI through tangible productivity gains (time saved) and the reduction of accuracy-related risks. "The success of this initiative has fundamentally changed our perspective on what is possible. By moving from automation to intelligent orchestration with Ema, we've built a foundational capability that allows Wipro to remain agile and associate-centric at any scale. We are now expanding this model across the entire associate lifecycle - from talent acquisition to performance - as we establish this as the new blueprint for the modern, AI-first People organization." - Ateet Jayaswal, Chief Culture & Employee Experience Officer, Wipro For Wipro, the AI Employee is no longer a project; it is the new operating model for delivering HR services to a global enterprise.
Ema, a generative AI company building AI agents for enterprise workflows, has raised an additional $36 million in Series A funding led by Accel and Section 32, bringing the round total to $50 million. The company has raised $61 million to date and more than tripled its customer base since emerging from stealth in March. Ema's agentic AI system deploys multiple AI agents to perform complex tasks across customer support, sales, compliance and other business functions. The platform addresses common large language model shortcomings by operating within company infrastructure, providing verifiable outputs and learning from real-time enterprise data. Customers including Moneyview, TrueLayer and Envoy Global are already using the platform. The funding will support R&D and go-to-market expansion. Ema was recently selected for Microsoft's invite-only Pegasus Programme for B2B startups.
Hospital for Special Surgery, the world's leading academic medical centre focused on musculoskeletal health, has partnered with Ema to deploy AI agents for patient scheduling and triage. The system aims to reduce wait times and connect patients with appropriate specialists faster. Available 24/7 via phone, text and online, Ema's conversational AI understands natural language, books appointments directly into scheduling systems and performs intelligent triage by assessing symptom severity. It matches patients with specialists based on their needs, location preferences, insurance coverage and physician availability. HSS will expand Ema's capabilities into internal operations including HR and IT support over a three-year engagement. The platform integrates with existing systems whilst maintaining healthcare privacy compliance and includes built-in safeguards for auditing and human oversight.
Explore the new voice of enterprise automation. Table of contents. * The Problem: Why Most Voice Tools Fail * How Ema's Voice AI Employee Transforms Your Voice Operations * Hire Ema to Elevate Your Voice Operations Voice is everywhere. It's the most natural, high-stakes interface in business, trillions of enterprise conversations every day - from customer support to operations, sales and recruiting. Yet, for decades, effectively automating these complex, dynamic conversations has been more of a promise than a reality. Today, that changes. Ema Unlimited, Inc. is introducing Ema's Voice AI Employee, the latest addition to its suite of AI employees designed to automate enterprise voice interactions in a natural, seamless manner. Ema's Voice AI Employee moves beyond simple responses by engaging in natural, flowing conversations. Most importantly, she automates sophisticated enterprise workflows end-to-end to resolve user needs autonomously, whether they're customers, partners, or internal teams. Ema is already helping enterprises achieve breakthrough results, including: * A resolution rate of over 85% * Average response latency below 500ms * An average satisfaction score of 4.5/5 The Problem: Why Most Voice Tools Fail. For most organizations, the voice channel is still a major source of friction. Callers face long wait times, frustrating delays, context loss during handoffs and robotic systems that can't understand them. * Conversations That Kill User Confidence: Many voice tools are built on outdated infrastructure. They are plagued by high latency, a robotic tone, and an inability to handle interruptions. Every unnatural pause and misunderstood phrase erodes trust and tanks end user satisfaction. * Designed for Escalation, Not Resolution: Most voice platforms are unable to integrate with the complex web of modern business systems to resolve tasks end to end. Lacking the ability to reason and act, they can't resolve any but the most trivial user needs. * Brittle and Complex to Maintain: Because most workflow automation tools are hard-coded, they create a critical agility gap. Every minor change requires deep technical expertise, which makes the solution impossible to adapt to evolving business needs or changing user expectations. How Ema's Voice AI Employee Transforms Your Voice Operations. Ema wins by making your voice operations faster, cheaper, and more reliable, available 24x7. She delivers true, end-to-end resolution in natural language, optimizing every stakeholder interaction. Here's how: * Natural conversations that build trust, not frustration * A true partner that automates enterprise workflows end-to-end * Cross-channel memory for seamless, unified user journeys * Enterprise ready: private, secure, and compliant * Trusted voice AI that's unmistakably yours 1. Natural conversations that build trust, not frustration. Ema eliminates the frustrating lags and robotic gaps of older systems, bringing natural, flowing conversations to your most complex stakeholder needs. She speaks over 30 languages - including Spanish, German, French, Japanese, Hindi, Italian, and many more - with native fluency and accent adaptability. Even more impressively, Ema can switch languages seamlessly mid-conversation, enabling truly global, multilingual interactions that feel human, natural, and continuous. Built on an innovative architecture for voice, Ema delivers fast, natural responses, cutting typical round-trip delays by 40-50%. This ensures a seamless, human-like cadence. It allows Ema to effortlessly manage interruptions and intelligently pivot the instant a user's intent shifts, making users feel truly heard, not just handled. 2. A true partner that automates enterprise workflows end-to-end. Powered by advanced Agentic AI capabilities and EmaFusion, Ema's voice AI employees move beyond simple tasks to automate sophisticated enterprise workflows. This includes document analysis, document generation, and taking necessary actions across hundreds of pre-connected enterprise applications. This means Ema can autonomously handle a complex user journey from start to finish. For a Sales Concierge, she can qualify an inbound lead, check product availability against an internal system, and schedule a demo with the right account executive. For customer support, she can field a billing inquiry, process the payment, and even set up a payment extension, all without human intervention. When a human touch is required, Ema intelligently routes the call to the best-suited agent and provides a complete AI summary for a warm, efficient handoff. This seamless AI-to-human partnership gets users to the right answer faster and solves more issues on the very first try. 3. Cross-channel memory for seamless, unified user journeys. Ema is a single platform for optimizing conversations across every key channel, from voice and chat to email and SMS. Her powerful cross-channel memory carries user context from one interaction to the next, so your users never have to repeat themselves. This "build once, deploy everywhere" model ensures your brand speaks with one consistent voice, delivering a seamless, frustration-free journey no matter how your users engage. 4. Enterprise ready: private, secure, and compliant. Ema is built for the enterprise, offering maximum security and deployment flexibility. She is secure by design and fully compliant with industry standards, including top certifications like SOC 2, HIPAA, and ISO:42001. Ema's enterprise-grade security includes robust PII protection and top-tier encryption. What's more, Ema provides ultimate control by being able to run fully on-premise, making Ema the most trusted and advanced agentic AI platform for today's businesses. 5. Trusted voice AI that's unmistakably yours. Ema eliminates the risk of generic, off-brand interactions by giving you total control over her voice profiles and instructions in simple, natural language. She masters your brand persona, from language, speed, and style to the precise pronunciation of your terminology, and understands your unique business context. Ema's performance is fully transparent, with real-time analytics and complete audit trails. This ensures she is always secure, compliant, and a true extension of your brand, not just another tool. Hire Ema to Elevate Your Voice Operations. Voice interactions are no longer just about answering questions. It's about taking action, making decisions, and delivering real outcomes. Businesses embracing fully agentic AI are shifting from reactive support to proactive, autonomous stakeholder success. Ready to transform your voice operations? See how Ema's Voice AI Employee can help you achieve over 85% containment rates.
| Ema is partnering with global leaders like KPMG and Hitachi to advance enterprise AI.